financial-machine-learning/raw_data/url_list.csv

1		name	url	comment	category
2	0	Deep Learning	https://github.com/keon/deepstock	Technical experimentations to beat the stock market using deep learning.	Deep Learning
3	1	Deep Learning II	https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks	Tensorflow Regression.	Deep Learning
4	2	Deep Learning III	https://github.com/Rachnog/Deep-Trading	Algorithmic trading with deep learning experiments.	Deep Learning
5	3	Deep Learning IV	https://github.com/achillesrasquinha/bulbea	Bulbea: Deep Learning based Python Library.	Deep Learning
6	4	LTSM GRU	https://github.com/RajatHanda/Finance-Forecasting	Stock Market Forecasting using LSTM\GRU.	Deep Learning
7	5	LTSM Recurrent	https://github.com/VivekPa/AIAlpha	OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.	Deep Learning
8	6	ARIMA-LTSM Hybrid	https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid	Hybrid model to predict future price correlation coefficients of two assets.	Deep Learning
9	7	Neural Network	https://github.com/VivekPa/IntroNeuralNetworks	Neural networks to predict stock prices.	Deep Learning
10	8	AI Trading	https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md	AI to predict stock market movements.	Deep Learning
11	9	RL Trading	https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW	A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.	Reinforcement Learning
12	10	RL	https://github.com/kh-kim/stock_market_reinforcement_learning	OpenGym with Deep Q-learning and Policy Gradient.	Reinforcement Learning
13	11	RL II	https://github.com/deependersingla/deep_trader	reinforcement learning on stock market and agent tries to learn trading.	Reinforcement Learning
14	12	RL III	https://github.com/samre12/deep-trading-agent	Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.	Reinforcement Learning
15	13	RL IV	https://github.com/jjakimoto/DQN	Reinforcement Learning for finance.	Reinforcement Learning
16	14	RL V	https://github.com/gstenger98/rl-finance	Building an Agent to Trade with Reinforcement Learning.	Reinforcement Learning
17	15	Pair Trading RL	https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading	Using deep actor-critic model to learn best strategies in pair trading.	Reinforcement Learning
18	16	Mixture Models I	https://github.com/BlackArbsCEO/Mixture_Models	Mixture models to predict market bottoms.	Other Models
19	17	Mixture Models II	https://github.com/BlackArbsCEO/mixture_model_trading_public	Mixture models and stock trading.	Other Models
20	18	Scikit-learn Stock Prediction	https://github.com/robertmartin8/MachineLearningStocks	Using python and scikit-learn to make stock predictions.	Other Models
21	19	Fundamental LT Forecasts	https://github.com/Hvass-Labs/FinanceOps	Research in investment finance for long term forecasts.	Other Models
22	20	Short-Term Movement Cues	https://github.com/anfederico/Clairvoyant	Identify social/historical cues for short term stock movement.	Other Models
23	21	Trend Following	http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html	A futures trend following portfolio investment strategy.	Other Models
24	22	Advanced ML	https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises	Exercises too Financial Machine Learning (De Prado).	Data Processing Techniques and Transformations
25	23	Advanced ML II	https://github.com/hudson-and-thames/research	More implementations of Financial Machine Learning (De Prado).	Data Processing Techniques and Transformations
26	24	Distribution Characteristic Optimisation	https://github.com/VivekPa/OptimalPortfolio	Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.	Portfolio Selection and Optimisation
27	25	Reinforcement Learning	https://github.com/filangel/qtrader	Reinforcement Learning for Portfolio Management.	Portfolio Selection and Optimisation
28	26	Efficient Frontier	https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb	Modern Portfolio Theory.	Portfolio Selection and Optimisation
29	27	PyPortfolioOpt	https://github.com/robertmartin8/PyPortfolioOpt	Financial portfolio optimisation, including classical efficient frontier and advanced methods.	Portfolio Selection and Optimisation
30	28	Policy Gradient Portfolio	https://github.com/ZhengyaoJiang/PGPortfolio	A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.	Portfolio Selection and Optimisation
31	29	Deep Portfolio Theory	https://github.com/tcloaa/Deep-Portfolio-Theory	Autoencoder framework for portfolio selection.	Portfolio Selection and Optimisation
32	30	401K Portfolio Optimisation	https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb	Portfolio analyses and optimisation for 401K.	Portfolio Selection and Optimisation
33	31	Online Portfolio Selection	https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb	****Comparing OLPS algorithms on a diversified set of ETFs.	Portfolio Selection and Optimisation
34	32	OLMAR Algorithm	https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb	Relative importance of each component of the OLMAR algorithm.	Portfolio Selection and Optimisation
35	33	Modern Portfolio Theory	https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb	Universal portfolios; modern portfolio theory.	Portfolio Selection and Optimisation
36	34	DeepDow	https://github.com/jankrepl/deepdow	Portfolio optimization with deep learning.	Portfolio Selection and Optimisation
37	35	Various Risk Measures	https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb	Risk measures and factors for alternative and responsible investments.	Factor and Risk Analysis:
38	36	Pyfolio	https://github.com/quantopian/pyfolio	Portfolio and risk analytics in Python.	Factor and Risk Analysis:
39	37	Risk Basic	https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb	Active portfolio risk management .	Factor and Risk Analysis:
40	38	CAPM	https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb	Expected returns using CAPM.	Factor and Risk Analysis:
41	39	Factor Analysis	https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb	Factor analysis for mutual funds.	Factor and Risk Analysis:
42	40	VaR GaN	https://github.com/hamaadshah/market_risk_gan_keras	Estimate Value-at-Risk for market risk management using Keras and TensorFlow.	Factor and Risk Analysis:
43	41	VaR	https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb	Value-at-risk calculations.	Factor and Risk Analysis:
44	42	Python for Finance	https://github.com/yhilpisch/py4fi/tree/master/jupyter36	Various financial notebooks.	Factor and Risk Analysis:
45	43	Performance Analysis	https://github.com/quantopian/alphalens	Performance analysis of predictive (alpha) stock factors.	Factor and Risk Analysis:
46	44	Quant Finance	https://github.com/mrefermat/quant_finance	General quant repository.	Factor and Risk Analysis:
47	45	Risk and Return	https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials	Riskiness of portfolios and assets.	Factor and Risk Analysis:
48	46	Convex Optimisation	https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb	Convex Optimization for Finance.	Factor and Risk Analysis:
49	47	Factor Analysis	https://github.com/alpha-miner/alpha-mind/tree/master/notebooks	Factor strategy notebooks.	Factor and Risk Analysis:
50	48	Statistical Finance	https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments	Various financial experiments.	Factor and Risk Analysis:
51	49	PCA Pairs Trading	https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading	PCA, Factor Returns, and trading strategies.	Unsupervised:
52	50	Fund Clusters	https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb	Data exploration of fund clusters.	Unsupervised:
53	51	VRA Stock Embedding	https://github.com/ml-hongkong/stock2vec	Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.	Unsupervised:
54	52	Industry Clustering	https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries	Clustering of industries.	Unsupervised:
55	53	Pairs Trading	https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb	Finding pairs with cluster analysis.	Unsupervised:
56	54	Industry Clustering	https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries	Project to cluster industries according to financial attributes.	Unsupervised:
57	55	NLP	https://github.com/toamitesh/NLPinFinance	This project assembles a lot of NLP operations needed for finance domain.	Textual:
58	56	Earning call transcripts	https://github.com/lin882/WebAnalyticsProject	Correlation between mutual fund investment decision and earning call transcripts.	Textual:
59	57	Buzzwords	https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds	Return performance and mutual fund selection.	Textual:
60	58	Fund classification	https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb	Fund classification using text mining and NLP.	Textual:
61	59	NLP Event	https://github.com/yuriak/DLQuant	Applying Deep Learning and NLP in Quantitative Trading.	Textual:
62	60	Financial Sentiment Analysis	https://github.com/EricHe98/Financial-Statements-Text-Analysis	Sentiment, distance and proportion analysis for trading signals.	Textual:
63	61	Financial Statement Sentiment	https://github.com/MAydogdu/TextualAnalysis	Extracting sentiment from financial statements using neural networks.	Textual:
64	62	Extensive NLP	https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb	Comprehensive NLP techniques for accounting research.	Textual:
65	63	Accounting Anomalies	https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb	Using deep-learning frameworks to identify accounting anomalies.	Textual:
66	64	Options	https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D	Introduction to options.	Derivatives and Hedging:
67	65	Derivative Markets	https://github.com/broughtj/Fin6470/tree/master/Notebooks	The economics of futures, futures, options, and swaps.	Derivatives and Hedging:
68	66	Black Scholes	https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb	Options pricing.	Derivatives and Hedging:
69	67	Computational Derivatives	https://github.com/chenbowen184/Computational_Finance	Projects focusing on investigating simulations and computational techniques applied in finance.	Derivatives and Hedging:
70	68	Reinforcement Learning	https://github.com/FinTechies/HedgingRL	Hedging portfolios with reinforcement learning.	Derivatives and Hedging:
71	69	Delta Hedging	https://github.com/RobinsonGarcia/delta-hedging	Advanced derivatives.	Derivatives and Hedging:
72	70	Options Risk Measures	https://github.com/wanglouis49/risk_estimation	Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).	Derivatives and Hedging:
73	71	Derivatives Python	https://github.com/yhilpisch/dawp/tree/master/python36	Derivative analytics with Python.	Derivatives and Hedging:
74	72	Volatility and Variance Derivatives	https://github.com/yhilpisch/lvvd/tree/master/lvvd	Volatility derivatives analytics.	Derivatives and Hedging:
75	73	Options	https://github.com/PHBS/2018.M1.ASP/tree/master/py	Black Scholes and Copula.	Derivatives and Hedging:
76	74	Option Strategies	https://github.com/rstreppa/valuation-OptionStrategies	Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.	Derivatives and Hedging:
77	75	Derman	https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb	Binomial tree for American call.	Derivatives and Hedging:
78	76	Hull White	https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb	Callable Bond, Hull White.	Derivatives and Hedging:
79	77	Vasicek	https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb	Bootstrapping and interpolation.	Fixed Income
80	78	Binomial Tree	https://github.com/hy-lei/math-finance-exercise	Utility functions in fixed income securities.	Fixed Income
81	79	Corporate Bonds	https://github.com/ishank011/gs-quantify-bond-prediction	Predicting the buying and selling volume of the corporate bonds.	Fixed Income
82	80	Kiva Crowdfunding	https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb	Exploratory data analysis.	Alternative Finance
83	81	Venture Capital	https://github.com/julian-chan/etothex	Insight into a new founder to make data-driven investment decisions.	Alternative Finance
84	82	Venture Capital NN	https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring	Cox-PH neural network predictions for VC/innovations finance research.	Alternative Finance
85	83	Private Equity	https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb	Valuation models.	Alternative Finance
86	84	VC OLS	https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb	VC regression.	Alternative Finance
87	85	Watch Valuation	https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb	Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.	Alternative Finance
88	86	Art Valuation	https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb	Art evaluation analytics.	Alternative Finance
89	87	Blockchain	https://github.com/nud3l/dInvest	Repository for distributed autonomous investment banking.	Alternative Finance
90	88	HFT	https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy	High frequency trading.	Extended Research:
91	89	Deep Portfolio	https://github.com/DLColumbia/DL_forFinance	Deep learning for finance Predict volume of bonds.	Extended Research:
92	90	Mathematical Finance	https://github.com/Auquan/Tutorials	Notebooks for math and financial tutorials.	Extended Research:
93	91	NLP Finance Papers	https://github.com/chenbowen184/Research_Documents_Curation_with_NLP	Curating quantitative finance papers using machine learning.	Extended Research:
94	92	Simulation	https://github.com/chenbowen184/Computational_Finance	Investigating simulations as part of computational finance.	Extended Research:
95	93	Market Crash Prediction	https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb	Predicting market crashes using an LPPL model.	Extended Research:
96	94	Commodity	https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb	Commodity influence over Brazilian stocks.	Extended Research:
97	95	Finance Graph Theory	https://github.com/AvijitGhosh82/Finance_Graph_Theory	Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.	Extended Research:
98	96	Real Estate Property Fraud	https://github.com/aviroop1/Real_Estate_Property_Fraud	Unsupervised fraud detection model that can identify likely candidates of fraud.	Extended Research:
99	97	Behavioural Economics	https://github.com/pcmichaud/notebooks	Behavioural Economics and Finance Python Notebooks.	Extended Research:
100	98	Bayesian Finance	https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb	Notebook PyMC3 implementation.	Extended Research:
101	99	Bayesian Finance I	https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb	Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.	Extended Research:
102	100	Currency PCA	https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb	Forex spots PCA.	Extended Research:
103	101	Backtests	https://github.com/AlgoTraders/stock-analysis-engine	Trading data and algorithms.	Extended Research:
104	102	High Frequency	https://github.com/cswaney/prickle	A Python toolkit for high-frequency trade research.	Extended Research:
105	103	Financial Economics	https://github.com/rsvp/fecon235/tree/master/nb	Financial Economics Models.	Extended Research:
106	104	Critical Transitions	https://github.com/ryanholbrook/critical-transitions	Detecting critical transitions in financial networks with topological data analysis.	Extended Research:
107	105	Economic Foundations	https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations	Basic economic models.	Extended Research:
108	106	Corporate Finance	https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance	Basic corporate finance.	Extended Research:
109	107	Applied Corporate Finance	https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance	Studies the empirical behaviours in stock market.	Extended Research:
110	108	M&A	https://github.com/atulram/Finance-and-Stocks	Mergers and Acquisitions.	Extended Research:
111	109	Life-cycle	https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb	Company life cycle.	Extended Research:
112	110	Computational Finance	https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance	Applied Computational Economics and Finance.	Extended Research:
113	111	Liquidity and Momentum	https://github.com/mrefermat/quant_finance	Various factors and portfolio constructions.	Extended Research:
114	112	Mathematical Finance	https://github.com/yadongli/nyumath2048	NYU Math-GA 2048: Scientific Computing in Finance.	Courses
115	113	Algo Trading	https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading	Intro to algo trading.	Courses
116	114	Python for Finance	https://github.com/siaen/python_finance_course	CEU python for finance course material.	Courses
117	115	Handson Python for Finance	https://github.com/PacktPublishing/Hands-on-Python-for-Finance	Hands-on Python for Finance published by Packt.	Courses
118	116	Machine Learning for Trading	https://github.com/stefan-jansen/machine-learning-for-trading	Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.	Courses
119	117	ML Specialisation	https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization	Machine Learning in Finance.	Courses
120	118	Risk Management	https://github.com/andrey-lukyanov/Risk-Management	Finance risk engagement course resources.	Courses
121	119	Basic Investments	https://github.com/SeanMcOwen/FinanceAndPython.com-Investments	Basic investment tools in python.	Courses
122	120	Basic Derivatives	https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives	Basic forward contracts and hedging.	Courses
123	121	Basic Finance	https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance	Source code notebooks basic finance applications.	Courses
124	122	Capital Markets Data	https://www.capitalmarketsdata.com/		Data
125	123	Employee Count SEC Filings	https://github.com/healthgradient/sec_employee_information_extraction		Data
126	124	SEC Parsing	https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb		Data
127	125	Open Edgar	https://github.com/LexPredict/openedgar		Data
128	126	EDGAR	https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb		Data
129	127	IRS	http://social-metrics.org/sox/		Data
130	128	Rating Industries	http://www.ratingshistory.info/		Data
131	129	Web Scraping (FirmAI)	FirmAI		Data
132	130	Financial Corporate	http://raw.rutgers.edu/Corporate%20Financial%20Data.html		Data
133	131	Non-financial Corporate	http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html		Data
134	132	http://finance.yahoo.com/	http://finance.yahoo.com/		Data
135	133	https://fred.stlouisfed.org/	https://fred.stlouisfed.org/		Data
136	134	https://stooq.com	https://stooq.com		Data
137	135	https://github.com/timestocome/StockMarketData	https://github.com/timestocome/StockMarketData		Data
138	136	Financial Event Prediction using Machine Learning	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555		Personal Papers
139	137	Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies	https://jfds.pm-research.com/content/2/1/10		Personal Papers
140	138	Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization	https://jfds.pm-research.com/content/2/2/17		Personal Papers
141	139	Machine Learning in Asset Management	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952		Personal Papers
142	140	NYU FRE	https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering	Finance and Risk Engineering (NYU Tandon)	Colleges, Centers and Departments
143	141	Cornell University	https://www.cornell.edu/		Colleges, Centers and Departments
144	142	NYU Courant	https://cims.nyu.edu/	Courant Institute of Mathematical Sciences, New York University	Colleges, Centers and Departments
145	143	Oxford Man	https://www.oxford-man.ox.ac.uk/	Oxford-Man Institute of Quantitative Finance	Colleges, Centers and Departments
146	144	Stanford Advanced Financial Technologies	https://fintech.stanford.edu/	Stanford Advanced Financial Technologies Laboratory	Colleges, Centers and Departments
147	145	Berkeley Lab CIFT	https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/		Colleges, Centers and Departments